AI/ML Engineer

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September 15

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Abstrabit Technologies

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Artificial Intelligence • B2B • Enterprise

Abstrabit Technologies is a leading AI solutions provider focused on unlocking the transformative power of artificial intelligence for businesses worldwide. With over 12 years of expertise and a portfolio involving prestigious clients like Microsoft, Walmart, and Novartis, Abstrabit specializes in customized AI consulting and solutions. Their service offerings include AI strategy and consulting, generative AI solutions, AI chatbot solutions, AI knowledge assistants, and workflow automation. Abstrabit prides itself on delivering top-notch, tailored AI strategies that propel business innovation and growth while ensuring data security and seamless integration with existing systems.

11 - 50 employees

🤖 Artificial Intelligence

🤝 B2B

🏢 Enterprise

📋 Description

• Design, develop, train, and deploy machine learning models and AI solutions, including custom chatbots and knowledge-based systems • Integrate state-of-the-art AI/ML models (NLP, Computer Vision, Generative AI) into client products and internal platforms • Build, manage, and continuously improve knowledge bases that power intelligent applications • Develop, fine-tune, and evaluate generative AI models and functionalities • Contribute to full-stack application development by implementing and embedding core AI/ML features • Develop testing protocols, perform rigorous debugging, and ensure model and application performance, scalability, and reliability • Stay current with AI/ML research, evaluate new tools and techniques, and apply them to solve business challenges • Collaborate closely with consultants, software developers, and clients to understand requirements and deliver impactful results

🎯 Requirements

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related quantitative field • 0-3 years of professional hands-on experience in building and deploying AI/ML models and solutions • Strong theoretical understanding and practical experience with supervised and unsupervised learning and deep learning concepts • Experience or interest in NLP or computer vision • Proficiency in Python and experience with data science/ML libraries (Pandas, NumPy, Scikit-learn) • Hands-on experience with ML/DL frameworks such as TensorFlow, PyTorch, or Keras • Excellent analytical and problem-solving skills with attention to detail • Strong verbal and written communication skills